Heesu Park

According to our database, Heesu Park authored at least 7 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Prediction of respiratory rate from schlieren images using artificial intelligence.

Byung Jun Kim, Woo Sang Cho, Hyungsoo Lim, Jung Chan Lee, Taegyun Kim, Hyeongkyu Kwak, Jieun Shin, Gil Joon Suh, Woon Yong Kwon, Kyung Su Kim, Yoon Sun Jung, Hayoung Kim, Heesu Park

Comput. Methods Programs Biomed., 2026

Unobtrusive sleep posture estimation using pressure sensor in home sleep.

Jonghyun Hong, Jungmin Koh, Jinyoung Kim, Hyunchan Ryu, Dahye Lee, Hyunbin Kwon, ByungHun Choi, Heesu Park, Kwang Suk Park, Heenam Yoon

Comput. Biol. Medicine, 2026

2022

Prediction of Lower Extremity Multi-Joint Angles during Overground Walking by Using a Single IMU with a Low Frequency Based on an LSTM Recurrent Neural Network.

Joohwan Sung, Sungmin Han, Heesu Park, Hyunmyung Cho, Soree Hwang, Jong Woong Park, Inchan Youn

Sensors, 2022

Classification of Stroke Severity Using Clinically Relevant Symmetric Gait Features Based on Recursive Feature Elimination With Cross-Validation.

Joohwan Sung, Sungmin Han, Heesu Park, Soree Hwang, Song Joo Lee, Jong Woong Park, Inchan Youn

IEEE Access, 2022

2019

Ambulatory and Laboratory Stress Detection Based on Raw Electrocardiogram Signals Using a Convolutional Neural Network.

Hyunmyung Cho, Heesu Park, Suh-Yeon Dong, Inchan Youn

Sensors, 2019

2018

Stress Resilience Measurement With Heart-Rate Variability During Mental And Physical Stress.

Suh-Yeon Dong, Miran Lee, Heesu Park, Inchan Youn

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

The Role of Heart-Rate Variability Parameters in Activity Recognition and Energy-Expenditure Estimation Using Wearable Sensors.

Heesu Park, Suh-Yeon Dong, Miran Lee, Inchan Youn

Sensors, 2017